Customized recommendations of multimedia content streams

ABSTRACT

Customized recommendations of multimedia content streams are provided herein. A method can include facilitating, by a network device of a wireless network and comprising a processor, an output of a recommendation of a first multimedia content stream at a communications device based on a monitored interaction determined to have been performed by an identified entity at the communications device. The method can also include facilitating, by the network device, a first transmission of the first multimedia content stream to the communications device in response to an acceptance of the recommendation of the first multimedia content stream received from the communications device. The first multimedia content stream can be renderable for consumption at the communications device.

RELATED APPLICATION

The subject patent application is a continuation of, and claims priorityto each of, U.S. patent application Ser. No. 16/796,389, filed Feb. 20,2020, and entitled “CUSTOMIZED RECOMMENDATIONS OF MULTIMEDIA CONTENTSTREAMS,” which is a continuation of U.S. patent application Ser. No.15/438,469 (now U.S. Pat. No. 10,609,453), filed Feb. 21, 2017, andentitled “CUSTOMIZED RECOMMENDATIONS OF MULTIMEDIA CONTENT STREAMS,” theentireties of which applications are hereby expressly incorporated byreference herein.

TECHNICAL FIELD

This disclosure relates generally to the field of mobile communicationand, more specifically, to, customized recommendations of multimediacontent streams.

BACKGROUND

As communication networks evolve, various communications devices areused to view streaming content (e.g., a movie, a video, or othercontent) and recommendations related to additional streaming content canbe provided. However, these recommendations are generic in nature andmight not be of interest to the viewer. Accordingly, many of theserecommendations are disregarded and can frustrate the viewer due to thelack of applicability to the viewer's preferences.

BRIEF DESCRIPTION OF THE DRAWINGS

Various non-limiting embodiments are further described with reference tothe accompanying drawings in which:

FIG. 1 illustrates an example, non-limiting communications system forproviding customizable recommendations related to multimedia contentstreams in accordance with one or more embodiments described herein;

FIG. 2 illustrates an example, non-limiting communications system formonitoring interactions and providing customizable recommendations basedon the monitored interactions in accordance with one or more embodimentsdescribed herein;

FIG. 3 illustrates an example, non-limiting communications system forproviding customizable recommendations according to weights applied toone or more multimedia content streams based on monitored interactionsin accordance with one or more embodiments described herein;

FIG. 4 illustrates an example, non-limiting communications system forfacilitating output of one or more recommendations at a communicationsdevice based on monitored interactions performed at the communicationsdevice in accordance with one or more embodiments described herein;

FIG. 5 illustrates a flow diagram of an example, non-limitingcomputer-implemented method for providing customized recommendationsrelated to multimedia content streams in accordance with one or moreembodiments described herein;

FIG. 6 illustrates a flow diagram of an example, non-limitingcomputer-implemented method for monitoring interactions and providingcustomizable recommendations based on the monitored interactions inaccordance with one or more embodiments described herein;

FIG. 7 illustrates a flow diagram of an example, non-limitingcomputer-implemented method for monitoring interactions and providingcustomizable recommendations based on the monitored interactions inaccordance with one or more embodiments described herein;

FIG. 8 illustrates a flow diagram of an example, non-limitingcomputer-implemented method for providing customizable recommendationsof additional multimedia content streams based on the monitoredinteractions and historical data in accordance with one or moreembodiments described herein;

FIG. 9 illustrates an example block diagram of an example mobile handsetoperable to engage in a system architecture that facilitates wirelesscommunications according to one or more embodiments described herein;and

FIG. 10 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates wirelesscommunications according to one or more embodiments described herein.

DETAILED DESCRIPTION

Aspects of the subject disclosure will now be described more fullyhereinafter with reference to the accompanying drawings in which exampleembodiments are shown. In the following description, for purposes ofexplanation, numerous specific details are set forth in order to providea thorough understanding of the various embodiments. However, thesubject disclosure can be embodied in many different forms and shouldnot be construed as limited to the example embodiments set forth herein.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate customizationof multimedia content streams. In one embodiment, described herein is amethod that can include facilitating, by a network device of a wirelessnetwork and comprising a processor, an output of a recommendation of afirst multimedia content stream at a communications device based on amonitored interaction determined to have been performed by an identifiedentity at the communications device. The monitored interaction can bedetermined to be related to a content item of the first multimediacontent stream. The recommendation of the first multimedia contentstream can be based on a comparison between a weight assigned to thefirst multimedia content stream and respective weights assigned tosecond multimedia content streams that comprise the content item. Theweight can be determined based on the monitored interaction andhistorical interactions of the identified entity. The method can alsoinclude facilitating, by the network device, a first transmission of thefirst multimedia content stream to the communications device in responseto an acceptance of the recommendation of the first multimedia contentstream received from the communications device. The first multimediacontent stream can be renderable for consumption at the communicationsdevice.

According to an implementation, the output of the recommendation of thefirst multimedia content stream can be a first output of a firstrecommendation of the first multimedia content stream. Based on theacceptance of the first recommendation, the method can also comprisefacilitating, by the network device, a second output of a secondrecommendation of a second multimedia content stream of the secondmultimedia content streams. The second multimedia content stream can beselected based on the weight of the second multimedia content stream andrespective weights assigned to the second multimedia content streamsthat comprise the content item.

In an example, the monitored interaction can comprise a social networkinteraction at the communications device and data of the social networkinteraction can comprise an indication of the content item of the firstmultimedia content stream. In another example, the weight and therespective weights can indicate a rank ordering between the firstmultimedia content stream and the second multimedia content streams. Ina further example, the monitored interaction can comprise an input,received from the identified entity at the communications device, of arequest for multimedia content streams, comprising the first multimediacontent stream and the second multimedia content streams, which cancomprise a specific content item.

In another example, the identified entity can be a first identifiedentity and the monitored interaction can comprise an audibleconversation stream, detected by the communications device, between thefirst identified entity and a second identified entity. The content itemcan be detected during the audible conversation stream by thecommunications device.

According to some implementations, the content item can be a firstcontent item and the output of the recommendation can be a first outputof a first recommendation. According to this implementation, the methodcan further comprise, in response to an indication, received from thecommunications device, of an interest in an input summary feed,identifying, by the network device, a second content item. The inputsummary feed can comprise frequently updated information available tosubscribers of the input summary feed. The method can also includefacilitating, by the network device, a second output of a secondrecommendation of a second multimedia content stream of the secondmultimedia content streams, which comprises the second content item. Thesecond multimedia content stream can be selected based on an additionalcomparison between the weight assigned to the second multimedia contentstream and the respective weights assigned to the second multimediacontent streams that comprise the second content item. Further to thisimplementation, the indication can be a first indication and the methodcan include, in response to a second indication, received from thecommunications device, that the interest in the input summary feed is nolonger present, removing, by the network device, the secondrecommendation from a group of recommendations output at thecommunications device.

According to some implementations, the method can include, in responseto a denial of the recommendation of the first multimedia contentstream, modifying the weight assigned to the first multimedia contentstream from a first level to a second level. The first level canindicate an interest in the first multimedia content stream and thesecond level can indicate a lack of the interest in the first multimediacontent stream.

In accordance with an implementation, the output can be a first outputand the recommendation of the first multimedia content stream can be afirst recommendation of the first multimedia content stream. The methodfurther comprises storing, by the network device, the content item in adata store of content items. Additional multimedia content streams otherthan the first multimedia content stream and the second multimediacontent streams can be compared to additional content items in the datastore of content items. The method can also include facilitating, by thenetwork device, a second output of a second recommendation of a thirdmultimedia content stream of the additional multimedia content streams.Further to this implementation, the method can include removing, by thenetwork device, the content item from the data store of content itemsbased on an indication received from the communications device that thecontent item is not of interest to the identified entity. Removal of thecontent item from the database can include discontinuing recommendationsof multimedia content streams, comprising the first multimedia contentstream, the second multimedia content streams and the additionalmultimedia content streams, that can be recommended based on the contentitem.

In accordance with some implementations, the content item can be a firstcontent item, wherein the output of the recommendation is a first outputof a first recommendation. The method further comprises facilitating, bythe network device, a second recommendation of a second multimediacontent stream of the second multimedia content streams based on adetermination that the second multimedia content stream comprises thefirst content item and a second content item. The second content itemcan be determined based on the monitored interaction performed by theidentified entity at the communications device. The second multimediacontent stream can be recommended prior to a third recommendation of athird multimedia content stream that comprises the first content itemand does not comprise the second content item.

According to another embodiment, a system can include a processor and amemory that stores executable instructions that, when executed by theprocessor, facilitate performance of operations. The operations caninclude outputting a recommendation of a first multimedia content streamthat comprises a content item determined based on a monitoredinteraction. The recommendation of the first multimedia content streamcan be based on a comparison between a weight assigned to the firstmultimedia content stream and respective weights assigned to secondmultimedia content streams that comprise the content item, other thanthe first multimedia content stream. The weight can be determined basedon the monitored interaction and historical interactions. The operationscan also include facilitating a first transmission of the firstmultimedia content stream and a second transmission of the secondmultimedia content stream in an order of transmission based on aselection received from the communications device.

In an example, the first rank and the second rank can be assigned basedon interactions performed at the communications device. A firstinteraction of the interactions can be determined to be related to thefirst content item. A second interaction of the interactions can bedetermined to be related to the second content item.

In an implementation, the interactions can comprise a social networkinteraction at the communications device, and a subject of the socialnetwork interaction can comprise an indication of the first contentitem. According to another implementation, the interactions can compriseaudible conversation streams monitored by the communications device, andat least the first content item can be identified within an audibleconversation stream of the audible conversation streams. In accordancewith another implementation, the interactions can comprise asubscription to an input summary feed that comprises the first contentitem, the input summary feed can comprise regularly changed information.

According to yet another embodiment, described herein is amachine-readable storage medium comprising executable instructions that,when executed by a processor, facilitate performance of operations. Theoperations can include outputting a recommendation of a first multimediacontent stream that comprises a content item determined based on amonitored interaction. The recommendation of the first multimediacontent stream can be based on a comparison between a weight assigned tothe first multimedia content stream and respective weights assigned tosecond multimedia content streams that comprise the content item otherthan the first multimedia content stream. The weight can be determinedbased on the monitored interaction and historical interactions. Theoperations can also comprise, in response to an acceptance of therecommendation of the first multimedia content stream, outputting datathat comprises the first multimedia content stream at a communicationsdevice based on a schedule determined by an identified entity associatedwith the communications device.

In an example, the operations can also include monitoring a socialnetwork interaction at the communications device, wherein a subject ofthe social network interaction comprises an indication of the contentitem of the first multimedia content stream. In an additional oralternative example, the operations can include monitoring an audibleconversation stream of the identified entity, wherein the audibleconversation stream comprises an identification of the content item.

Referring initially to FIG. 1 illustrated is an example, non-limitingcommunications system 100 for providing customizable recommendationsrelated to multimedia content streams in accordance with one or moreembodiments described herein. The various aspects provided herein canprovide a viewer (e.g., a viewing entity) a mechanism to specify contentthat is of interest to the viewer. The viewer can be an identifiedentity associated with one or more communications devices. For example,while the viewer is consuming streaming content through thecommunications device, the viewer can be provided one or morerecommendations, which can be further customized by the viewer. Forexample, the viewer can define a custom input feed, which can beutilized to determine and output related content to the viewer.

The non-limiting communications system 100 can include a communicationsdevice 102 and a network device 104. The network device 104 can beincluded in a group of network devices of a wireless network. Althoughonly a single communications device and a single network device areshown and described, the various aspects are not limited to thisimplementation. Instead, multiple communications devices and/or multiplenetwork devices can be included in a communications system.

The communications device 102 can include a memory 106, a processor 108,a communication component 110, and an interface component 112. Thememory 106 can be operatively connected to the processor 108. The memory106 can store executable instructions that, when executed by theprocessor 108 facilitate performance of operations. Further, theprocessor 108 can be utilized to execute computer executable componentsstored in the memory 106.

For example, the memory 106 can store protocols associated withcustomization of multimedia content stream as discussed herein. Further,the memory 106 can facilitate action to control communication betweenthe communications device 102 and the network device 104 such that thenon-limiting communications system 100 can employ stored protocolsand/or algorithms to achieve improved communications in a wirelessnetwork as described herein. According to some implementations, thecommunication component 110 can facilitate communications between anidentified entity associated with the communications device 102 (e.g.,an owner of the communications device 102, a user of the communicationsdevice 102, and so on).

The communication component 110, for example, can be atransmitter/receiver configured to transmit to and/or receive data fromthe network device 104, other network devices, and/or other mobiledevices. Through the communication component 110, the communicationsdevice 102 can concurrently transmit and receive data, can transmit andreceive data at different times, or combinations thereof. The interfacecomponent 112 can output one or more recommendations and/or one or moremultimedia streams at the communications device 102, as discussedherein.

The network device 104 can include a memory 114, a processor 116, acommunications module 118, and a recommendation engine 120. The memory114 can be operatively connected to the processor 116. The memory 114can store executable instructions that, when executed by the processor116 facilitate performance of operations. Further, the processor can beutilized to execute computer executable components stored in the memory114.

The memory 114 can store protocols associated with customization ofmultimedia content streams as discussed herein. Further, the memory 114can facilitate action to control communication between the networkdevice 104 and the communications device 102 such that the non-limitingcommunications system 100 can employ stored protocols and/or algorithmsto achieve improved communications in a wireless network as describedherein.

According to some implementations, the communications module 118 canfacilitate communications between an identified entity associated withthe communications device 102 (e.g., an owner of the communicationsdevice 102, a user of the communications device 102 and so on). Further,the communications module 118 can facilitate communication with thecommunications device 102, other network devices, and/or other mobiledevices.

The recommendation engine 120 can provide one or more recommendationsrelated to a multimedia content streams determined to be of interest tothe identified entity. For example, as the identified entity isoperating the communications device 102, an input feed can be identifiedand can include a discussion of a particular actor (e.g., identified byreal name, character name, or in another manner). Based onidentification of the particular actor within the input feed, thenon-limiting communications system 100 can be configured to obtain otherroles played by the actor or other content in which the actor hasperformed, or related to the actor. Thus, a recommendation can be outputto the identified entity that provides a movie or a list of movies inwhich the actor has performed and which can be of interest to theidentified entity. According to other examples, the input received canindicate a title of a movie of interest, a topic of interest, and so on.In these examples, the recommendation can include similar movies, moviesthat relate to the topic of interest, and so on.

In some implementations, the information can be received from thecommunications device 102 automatically based on observing a behaviorand/or interactions performed at the communications device 102 (e.g., bythe identified entity), or based on conversations of the identifiedentity (both verbal or through manual interaction) detected by thecommunications device 102. The monitored interactions can be electroniccommunications, electronic interactions, and/or electronic transactionsdetermined to have been performed by the identified entity at thecommunications device 102 (or at other communications devices of theidentified entity). According to some implementation, the monitoredinteractions can be social network interactions. In some cases, theinformation can be directly received from the identified entity based onan interaction between the identified entity and the non-limitingcommunications system 100 (e.g., through the interface component 112).Accordingly, an input feed can provide the identified entity controlover content discovery of one or more multimedia content streamsperformed by the non-limiting communications system 100.

Through the communications module 118, the network device 104 canfacilitate transmission of the multimedia content stream at thecommunications device 102. For example, based on a determination thatthe recommendation output by the recommendation engine 120 is accepted,an indication that the multimedia content stream should be rendered forconsumption at the communications device 102 can be sent to thecommunications device 102 or to another device that can provide themultimedia content stream.

According to some implementations, more than one communications devicecan be associated with the identified entity. For example, theidentified entity can utilize two or more communications devices (e.g.,a mobile phone, a laptop computer, an Internet of Things (IoT) device,and so on), which can be determined to be associated with the identifiedentity. Thus, the non-limiting communications system 100 can beconfigured to monitor interactions across all associated communicationsdevice and facilitate output of the multimedia content stream at one ormore of the communications devices.

The respective memories 106, 114 can store respective protocolsassociated with customization of multimedia content stream output at acommunications device, taking action to control communication betweenthe communications device 102 and the network device 104, such that thenon-limiting communications system 100 can employ stored protocolsand/or algorithms to achieve improved communications in a wirelessnetwork as described herein. It should be appreciated that data store(e.g., memories) components described herein can be either volatilememory or nonvolatile memory, or can include both volatile andnonvolatile memory. By way of example and not limitation, nonvolatilememory can include read only memory (ROM), programmable ROM (PROM),electrically programmable ROM (EPROM), electrically erasable ROM(EEPROM), or flash memory. Volatile memory can include random accessmemory (RAM), which acts as external cache memory. By way of example andnot limitation, RAM is available in many forms such as synchronous RAM(SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rateSDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), anddirect Rambus RAM (DRRAM). Memory of the disclosed aspects are intendedto comprise, without being limited to, these and other suitable types ofmemory.

The respective processors 108, 116 can facilitate respective analysis ofinformation related to customized recommendations of multimedia contentstreams in a communication network. The processors 108, 116 can beprocessors dedicated to analyzing and/or generating informationreceived, a processor that controls one or more components of thenon-limiting communications system 100, and/or a processor that bothanalyzes and generates information received and controls one or morecomponents of the non-limiting communications system 100.

Further, the term network device (e.g., network node, network nodedevice) is used herein to refer to any type of network node serving acommunications devices and/or connected to other network nodes, networkelements, or another network node from which the communications devicescan receive a radio signal. In cellular radio access networks (e.g.,universal mobile telecommunications system (UMTS) networks), networknodes can be referred to as base transceiver stations (BTS), radio basestation, radio network nodes, base stations, NodeB, eNodeB (e.g.,evolved NodeB), and so on. In 5G terminology, the network nodes can bereferred to as gNodeB (e.g., gNB) devices. Network nodes can alsocomprise multiple antennas for performing various transmissionoperations (e.g., MIMO operations). A network node can comprise acabinet and other protected enclosures, an antenna mast, and actualantennas. Network nodes can serve several cells, also called sectors,depending on the configuration and type of antenna. Examples of networknodes (e.g., network device 104) can include but are not limited to:NodeB devices, base station (BS) devices, access point (AP) devices, andradio access network (RAN) devices. The network nodes can also includemulti-standard radio (MSR) radio node devices, comprising: an MSR BS, aneNode B, a network controller, a radio network controller (RNC), a basestation controller (BSC), a relay, a donor node controlling relay, abase transceiver station (BTS), a transmission point, a transmissionnode, an RRU, an RRH, nodes in distributed antenna system (DAS), and thelike.

FIG. 2 illustrates an example, non-limiting communications system 200for monitoring interactions and providing customizable recommendationsbased on the monitored interactions in accordance with one or moreembodiments described herein. Repetitive description of like elementsemployed in other embodiments described herein is omitted for sake ofbrevity. The non-limiting communications system 200 can comprise one ormore of the components and/or functionality of non-limitingcommunications system 100, and vice versa.

The non-limiting communications system 200 can include a monitoringcomponent 202, a weight component 204, and a selection component 206.The monitoring component 202 can receive data related to one or moremonitored interactions. For example, the interactions can be captured bythe communications device 102 and sent to the network device 104 forevaluation (e.g., via the communication component 110). The monitoredinteractions can be received at the communications device 102 throughthe interface component 112. The monitored interactions can beelectronic communications, electronic interactions, and/or electronictransactions determined to have been performed by an identified entityat the communications device 102 (or at other communications devices ofthe identified entity). According to some implementations, the monitoredinteractions can be a behavior of the identified entity.

In an example, monitored interactions can be actions performed withrespect to a social network. Such actions can include electroniccommunications with other entities of the social network and/orinterests identified within the social network (e.g., indicating aninterest or “like” in the content, indicating an interest by followingor accepting electronic communications, and so on). In another example,monitored interactions can be subscribing to an input summary feed thatcomprises frequently updated information available to subscribers of theinput summary feed. The input summary feed can be related to any type ofitem of interest.

If multiple communications devices are associated with an identifiedentity, monitored interactions at the multiple communications device canbe considered to be related to the identified entity. As monitoredinteractions are received at the network device 104, the monitoredinteractions can be stored in a data store or another device (e.g., thememory 114). The monitored interactions can be stored as historicalinteractions according to an implementation.

The weight component 204 can assign respective weights to the one ormore content items and/or the one or more multimedia streams. Therespective weights can indicate a rank ordering between the multimediacontent streams. The weight component 204 can select the weights basedupon a determined interest of the identified entity for content itemsand/or multimedia content stream.

The selection component 206 can facilitate output of one or morerecommendations at the communications device 102. For example, based onthe respective weights assigned to the one or more multimedia contentstreams, the selection component 206 can determine which multimediacontents streams to recommend to the identified entity through thecommunications device 102 (e.g., via the interface component 112).

For example, the identified entity can be consuming streaming content atthe communications device 102. Through the interface component 112, theidentified entity can specify content that is of interest to theidentified entity. Accordingly, the identified entity is able tocustomize recommendations and/or advertisements that are output at thecommunications device. In a similar manner, the identified entity canindicate content that is not interest to the identified entity. Inaddition to receiving direct feedback from the identified entity, thevarious aspects can infer preferences of the identified entity based oncurrent interactions and/or historical interactions.

In another example a custom input feed (e.g., an input summary stream)can be output at the communications device 102, which can provide theidentified entity control (e.g., through the interface component 112)over the recommendations received. For example, the identified entitycan receive a custom input feed that can provide the identified entitycontrol over the recommendations received. For example, the identifiedentity can define a custom input feed that the communications device 102receives and the selection component 206 can utilize the custom inputfeed to find and offer related content to the identified entity.

In a specific example, the input feed identified by the communicationsdevice 102 can include a discussion of a particular actor (identified byreal name, character name, or in another manner). Based onidentification of the particular actor within the input feed, thenon-limiting communications system 200 can be configured to obtain otherroles played by the actor or other content in which the actor hasperformed. Thus, a recommendation can be output at the communicationsdevice 102 that provides a movie or a list of movies in which the actorhas performed and which can be of interest to the identified entity.According to other examples, the input received can indicate a title ofa movie of interest, a topic of interest, and so on.

In some implementations, the information is received from thecommunications device 102 automatically based on observing theidentified entity's behavior and/or interactions, or based onconversations of the identified entity (both verbal or through manualinteraction with the communications device 102). Accordingly, theidentified entity input feed can provide the identified entity controlover content discovery facilitated by the network device 104.

FIG. 3 illustrates an example, non-limiting communications system 300for providing customizable recommendations according to weights appliedto one or more multimedia content streams based on monitoredinteractions in accordance with one or more embodiments describedherein. Repetitive description of like elements employed in otherembodiments described herein is omitted for sake of brevity. Thenon-limiting communications system 300 can comprise one or more of thecomponents and/or functionality of non-limiting communications system100 and/or non-limiting communications system 200, and vice versa.

The non-limiting communications system 300 can include a correlationcomponent 302, an evaluation component 304, and an output component 306.The monitoring component 202 can receive one or more monitoredinteractions determined to have been performed by an identified entityat the communications device 102. A correlation component 302 candetermine if the monitored interaction is related to at least onecontent item of at least one multimedia content stream. For example, thecontent item can be an identification of an actor, a place, a topic, aproduct, and so on that can be included in a multimedia content stream.The content item can be identified based on keywords, phrases, or otherdata contained within the transaction. If the monitored interaction isnot related to one or more content items, the transaction can beignored. For example, the transaction can be between the identifiedentity and another entity (e.g., a friend, a family member) and could beabout something other than multimedia streams (e.g., a personal matter,an event the entities are planning, and so on).

Based on the match between the monitored transactions and the one ormore multimedia content streams, the weight component 204 can assignrespective weights to the one or more multimedia content streams. Theweights can be customizable by the non-limiting communications system300 and/or by the identified entity through the communications device102. For example, a first weight can be assigned for multimedia contentstreams determined to be of interest to the identified entity; a secondweight can be assigned for multimedia content streams determined to mostlikely be of interest to the identified entity; a third weight can beassigned for multimedia content streams determined to be of littleinterest to the identified entity; and a fourth weight can be assignedfor multimedia content streams determined to be of no interest to theidentified entity. Although discussed with respect to four weights, anynumber of weights can be utilized with the disclosed aspects.

The evaluation component 304 can select one or more of the multimediacontent streams based on the respective weights. The evaluationcomponent 304 selects the one or more multimedia content streams forrecommendation to the identified entity through the communicationsdevice 102. If none of the multimedia content streams recommended arechosen by the entity through the communications device 102, theevaluation component 304 can select one or more other multimedia contentstreams to recommend. This process can continue until a multimediacontent stream is selected or an indication is received thecommunications device 102 to discontinue the output of therecommendations.

Based upon a selection of one of the one or more multimedia contentstreams, the output component 306 can facilitate output of the selectedmultimedia content stream at the communications device 102. For example,the output component 306 can provide an instruction to another networkdevice that the multimedia content stream should be transmitted to thecommunications device. The instruction can also include other data, suchas a time/day to output the multimedia content stream. Based on theinstruction, the other network device can transmit to the multimediacontent stream to the communications device 102. During output at thecommunications device 102, interactions by the identified entity at thecommunications device 102 can be observed and communicated to thenetwork device 104 and further recommendations can be provided inaccordance with the one or more aspects discussed herein.

FIG. 4 illustrates an example, non-limiting communications system 400for facilitating output of one or more recommendations at acommunications device based on monitored interactions performed at thecommunications device in accordance with one or more embodimentsdescribed herein. Repetitive description of like elements employed inother embodiments described herein is omitted for sake of brevity. Thenon-limiting communications system 400 can comprise one or more of thecomponents and/or functionality of non-limiting communications system100, non-limiting communications system 200, and/or non-limitingcommunications system 300, and vice versa.

The system can include a data store 402, a historical component 404, aremoval component 406, and a machine learning component 408. The datastore 402 can retain information related to one or more content items,one or more multimedia content streams, and respective weights assignedto the one or more content items and/or the one or more multimediacontent streams.

The historical component 404 can obtain information related tohistorical interactions associated with the identified entity. Thehistorical information can be utilized by the weight component 204 todetermine a weight to be applied to a content item and/or a multimediastream. For example, historical information can be accessed (e.g., fromthe data store 402 and/or memory 114) to evaluate a new multimediacontent stream (e.g., a newly released movie, a newly released audiobook, and so on). Further, the historical information can be comparedwith recently received interactions (e.g., what the identified entity isdoing today) to determine whether there is a trend or pattern that wouldprovide details as to an interest of the identified entity.

The removal component 406 can remove one or more content items and/orone or more multimedia content streams determined not to be of interestto the identified entity. For example, the identified entity couldsubscribe to an input summary feed (e.g., an RSS feed) andrecommendations can be provided by the selection component 206 based onthe input summary feed subscription. However, the identified entitymight no longer be interested in the subject matter of the input summarystream and might unsubscribe from the feed and, therefore, the removalcomponent 406 can remove the content items and/or multimedia contentstreams associated with the input stream.

Further, in an embodiment, the non-limiting communications system 400can include a machine learning component 408. The machine learningcomponent 408 can perform a set of machine learning computationsassociated with the monitored interactions, the one or more contentitems, and/or the one or more multimedia content streams. For example,the machine learning component 408 can determine an amount of interestthe identified entity has in the or more content items, the monitoredinteractions of the identified entity that indicate interest, ordisinterest, in one or more content items and/or one or more multimediastreams, respective weights to assign to the one or more content itemsand/or the one or more multimedia streams, adjustments to one or morerespective weights based on the monitored behavior, and so on. Accordingto another example, the machine learning component 408 can evaluaterespective weights assigned to the one or more multimedia streams andfacilitate output of one or more recommendations at the communicationsdevice 102. Further, the machine learning component 408 can evaluatemonitored interactions based on the one or more recommendations of theone or more multimedia content streams and/or the respective weightsassigned to the one or more content items and/or the one or moremultimedia content streams.

The machine learning component 408 can utilize machine learning systemsthat have been explicitly or implicitly trained to learn, determine orinfer identified entity interests, content items associated with theinterests, multimedia content streams that include one or more of thecontent items, identified entity input related to one or morerecommendations, and modifications to recommendations based on the inputand/or other monitored interactions. It is to be appreciated thatmachine learning systems can be implemented in one or more of thecomponents to generate explicitly and/or implicitly trained models thatprovide the recommendation outputs that are determined to be of interestto the identified entity. The machine learning systems can learnsystems, networks, etc., identify interests of the identified entity,respective preferences of the identified entity, and so on in order todetermine or infer one or more multimedia content streams that should berecommended to the identified entity.

According to some implementations, the interface component 112 (orrespective interface components of the one or more computing devices aswell as other interface components discussed herein) can provide agraphical user interface (GUI), a command line interface, a speechinterface, Natural Language text interface, and the like. For example, aGraphical User Interface (GUI) can be rendered that provides a user witha region or means to load, import, select, read, and so forth, variousrequests and can include a region to present the results of the variousrequests. These regions can include known text and/or graphic regionsthat include dialogue boxes, static controls, drop-down-menus, listboxes, pop-up menus, as edit controls, combo boxes, radio buttons, checkboxes, push buttons, graphic boxes, and so on. In addition, utilities tofacilitate the information conveyance, such as vertical and/orhorizontal scroll bars for navigation and toolbar buttons to determinewhether a region will be viewable, can be employed. Thus, it might beinferred that the user did want the action performed.

The user can also interact with the regions to select and provideinformation through various devices such as a mouse, a roller ball, akeypad, a keyboard, a pen, gestures captured with a camera, a touchscreen, and/or voice activation, for example. According to an aspect, amechanism, such as a push button or the enter key on the keyboard, canbe employed subsequent to entering the information in order to initiateinformation conveyance. However, it is to be appreciated that thedisclosed aspects are not so limited. For example, merely highlighting acheck box can initiate information conveyance. In another example, acommand line interface can be employed. For example, the command lineinterface can prompt the user for information by providing a textmessage, producing an audio tone, or the like. The user can then providesuitable information, such as alphanumeric input corresponding to anoption provided in the interface prompt or an answer to a question posedin the prompt. It is to be appreciated that the command line interfacecan be employed in connection with a GUI and/or Application ProgramInterface (API). In addition, the command line interface can be employedin connection with hardware (e.g., video cards) and/or displays (e.g.,black and white, and Video Graphics Array (EGA)) with limited graphicsupport, and/or low bandwidth communication channels.

Methods that can be implemented in accordance with the disclosed subjectmatter, will be better appreciated with reference to the following flowcharts. While, for purposes of simplicity of explanation, the methodsare shown and described as a series of blocks, it is to be understoodand appreciated that the disclosed aspects are not limited by the numberor order of blocks, as some blocks can occur in different orders and/orat substantially the same time with other blocks from what is depictedand described herein. Moreover, not all illustrated blocks can berequired to implement the disclosed methods. It is to be appreciatedthat the functionality associated with the blocks can be implemented bysoftware, hardware, a combination thereof, or any other suitable means(e.g. device, system, process, component, and so forth). Additionally,it should be further appreciated that the disclosed methods are capableof being stored on an article of manufacture to facilitate transportingand transferring such methods to various devices. Those skilled in theart will understand and appreciate that the methods could alternativelybe represented as a series of interrelated states or events, such as ina state diagram.

FIG. 5 illustrates a flow diagram of an example, non-limitingcomputer-implemented method 500 for providing customized recommendationsrelated to multimedia content streams in accordance with one or moreembodiments described herein. The non-limiting computer-implementedmethod 500 begins at 502 with facilitation of an output of arecommendation of a first multimedia content stream at a communicationsdevice (e.g., via the selection component 206). The recommendation canbe based on a monitored interaction determined to have been performed byan identified entity at the communications device. The monitoredinteraction can be determined to be related to a content item of thefirst multimedia content stream. Further, the recommendation of themultimedia content stream can be based on a comparison between a weightassigned to the first multimedia content stream and respective weightsassigned to second multimedia content streams that comprise the contentitem. The weight can be determined based on the monitored interactionand historical interactions of the identified entity.

At 504, the non-limiting computer-implemented method 500 can facilitatea first transmission of the first multimedia content stream to thecommunications device in response to an acceptance of the recommendationof the first multimedia content stream received from the communicationsdevice (e.g., via the output component 306). The first multimediacontent stream can be renderable for consumption at the communicationsdevice.

FIG. 6 illustrates a flow diagram of an example, non-limitingcomputer-implemented method 600 for monitoring interactions andproviding customizable recommendations based on the monitoredinteractions in accordance with one or more embodiments describedherein. At 602, one or more monitored interactions at a communicationsdevice are received (e.g. via the monitoring component 202). Themonitored interactions can be electronic communications, electronicinteractions, and/or electronic transactions determined to have beenperformed by an identified entity at one or more communications devicesassociated with the identified entity.

At 604, a determination is made whether the monitored interaction isrelated to a content item of at least one multimedia content stream(e.g., via the correlation component 302). For example, if thecommunication is an electronic communication performed through thecommunications device (e.g., a phone call), a determination can be madewhether the identified entity is discussing a content item that isincluded in a data store of content items. If the monitored interactiondoes not include at least one content item included in the data store ofcontent items (“NO”), the non-limiting computer-implemented method 600continues, at 602 with receipt of a monitored interaction.

If the monitored interaction includes the at least one content item(“YES”), method continues, at 606, and multimedia content streams thatinclude the at least one content item are evaluated based on respectiveweights assigned to the multimedia content streams (e.g., via the weightcomponent 204). For example, the weights can provide an indication as tothe relevancy of the content item to the viewer (e.g., based on theviewer's preferences). Thus, if it is determined that the viewer is veryinterested in the content item, the weight assigned can be higher forthat content item as compared to another content item for which theviewer is only slightly interested.

Based on the respective weights, the non-limiting computer-implementedmethod 600, at 608, can facilitate output of one or more recommendationsof one or more multimedia content streams at the communications device(e.g., via the selection component 206). For example, a first multimediacontent stream that includes a first content item that is weighed moreheavily than a second multimedia content stream that includes a secondcontent item can be output as a first recommendation while the secondmultimedia can be output as a second recommendation. According to someimplementations, an accumulation of weights on content items within amultimedia output stream can be utilized to determine the overall weightfor the multimedia content stream. In accordance with someimplementations, a content item could be assigned a negative weightbased upon a determination that the viewer is not at all interested inthe content item (which can indicate that a multimedia content streamcontaining that content item should not be output to the viewer).

At 610, output of a multimedia content stream at the communicationsdevice is facilitated based on an acceptance of at least one of therecommendations (e.g., via the output component 306). The output at thecommunications device can be performed at a time selected by the vieweror at a different time (e.g., a time defined by a determined scheduledoutput of the multimedia content stream). The output can be in aperceivable format at the communications device allowing for consumptionof the multimedia content stream by the viewer.

FIG. 7 illustrates a flow diagram of an example, non-limitingcomputer-implemented method 700 for monitoring interactions andproviding customizable recommendations based on the monitoredinteractions in accordance with one or more embodiments describedherein. At 702, a network device of a wireless network and comprising aprocessor, receives an indication of an interest in an input summarystream that comprises frequently updated information available tosubscribers of the input summary feed (e.g., via the monitoringcomponent 202). In an example, the input summary stream can be a richsite summary (RSS) stream and the frequently updated information can beprovided in a web feed format. Further, the input summary stream cancomprise text and metadata.

At 704, a content item associated with the input summary stream can beidentified (e.g., via the correlation component 302). For example, thecontent item can be a topic of the input summary stream. In anotherexample, the content item can be a behavior or transaction observed at acommunications device. The observed transaction can be an interactionthat a viewer performs at the communications device. For example, duringviewing of the input summary feed, the viewer might select moreinformation related to content of the input summary feed. Based on thisaction, it could be inferred that the viewer is interested in one ormore content items included in the content selected by the viewer. Anoutput of a recommendation of a multimedia content stream can befacilitated by the network device, at 706 (e.g., via the selectioncomponent 206).

In an example, an output of a recommendation of a first multimediacontent stream can be facilitated by the network device as describedwith respect to the non-limiting computer-implemented method 500 of FIG.5 . Further, the network device can determine that a secondrecommendation should be provided based on the non-limitingcomputer-implemented method 700 of FIG. 7 . The second recommendationcan be for a recommendation of a second multimedia content stream. Thedetermination of the second multimedia content stream can be made basedon a comparison between a weight assigned to the second multimediastream and respective weights assigned to other multimedia contentstreams that comprises the second content item. Further, the firstrecommendation of the first multimedia content stream and the secondrecommendation of the second multimedia content streams can be based ona first weight assigned to the first multimedia content stream, a secondweight assigned to the second multimedia content stream, and otherweights assigned to other multimedia content streams that include thefirst content item or the second content item. According to someimplementations, a multimedia content stream that comprises both thefirst content item and the second content item can be assigned a higherweight than a multimedia content stream that comprises only one of thefirst content item or the second content item. The respective weightscan indicate a rank ordering between the various multimedia contentstreams. Further, the rank ordering can indicate an interest level ofthe viewer.

FIG. 8 illustrates a flow diagram of an example, non-limitingcomputer-implemented method 800 for providing customizablerecommendations of additional multimedia content streams based on themonitored interactions and historical data in accordance with one ormore embodiments described herein.

At 802, a network device of a wireless network and comprising aprocessor facilitates output of a first recommendation of a firstmultimedia content stream at a communications device (e.g., via theselection component 206). The first recommendation can be determinedbased on a monitored interaction determined to have been performed by anidentified entity at the communications device. The monitoredinteraction can be determined to be related to a first content item ofthe first multimedia content stream. Further, the recommendation of themultimedia content stream can be based on a comparison between a firstweight assigned to the first multimedia content stream and respectiveweights assigned to second multimedia content streams that comprise thefirst content item. The weight can be determined based on the monitoredinteractions and historical interactions of the identified entity. Thenetwork device can store the first content item in a data store ofcontent items, at 804 (e.g., via the data store 402).

The first content item can be compared, by the network device, toadditional content items in the data store to determine respectiveweights assigned to the first content item and the additional contentitems, at 806 (e.g., via the weight component 204). For example, thefirst content item can be compared to a second content item, a thirdcontent item, and subsequent content items. Based on the comparison,output of one or more recommendations can be facilitated at thecommunications device, at 808 (e.g., via the selection component 206).For example, if a third multimedia content stream has a weight assignedthat is determined to be higher than a first weight of the firstmultimedia content stream and a second weight of a second multimediacontent stream, the network device can output a recommendation for thethird multimedia content stream prior to, or higher in a listing, thanthe first multimedia content stream and the second multimedia contentstream. At 810, output of a multimedia content stream selected can befacilitated at the communications device (e.g., via the output component306). The output can be at a time and a place (e.g., one of multiplecommunications devices associated with the identified entity) asselected by the viewer.

Referring now to FIG. 9 , illustrated is a schematic block diagram of anexemplary end-user device such as a mobile device or handset 900 capableof connecting to a network in accordance with some embodiments describedherein. Although a mobile handset is illustrated herein, it will beunderstood that other devices can be a mobile device, and that themobile handset is merely illustrated to provide context for theembodiments of the various embodiments described herein. The followingdiscussion is intended to provide a brief, general description of anexample of a suitable environment in which the various embodiments canbe implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the innovation alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset includes a processor 902 for controlling and processing allonboard operations and functions. A memory 904 interfaces to theprocessor 902 for storage of data and one or more applications 906(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 906 can be stored in the memory 904 and/or in a firmware908, and executed by the processor 902 from either or both the memory904 or/and the firmware 908. The firmware 908 can also store startupcode for execution in initializing the handset 900. A communicationscomponent 910 interfaces to the processor 902 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component910 can also include a suitable cellular transceiver 911 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 900 can be a devicesuch as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 910 also facilitates communications reception from terrestrialradio networks (e.g., broadcast), digital satellite radio networks, andInternet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 912 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 912 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface914 is provided in communication with the processor 902 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This supports updating andtroubleshooting the handset 900, for example. Audio capabilities areprovided with an audio I/O component 916, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 916 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 900 can include a slot interface 918 for accommodating a SIC(Subscriber Identity Component) in the form factor of a card SubscriberIdentity Module (SIM) or universal SIM 920, and interfacing the SIM card920 with the processor 902. However, it is to be appreciated that theSIM card 920 can be manufactured into the handset 900, and updated bydownloading data and software.

The handset 900 can process IP data traffic through the communicationscomponent 910 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 900 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 922can aid in facilitating the generation, editing and sharing of videoquotes. The handset 900 also includes a power source 924 in the form ofbatteries and/or an AC power subsystem, which power source 924 caninterface to an external power system or charging equipment (not shown)by a power I/O component 926.

The handset 900 can also include a video component 930 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 930 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 932 facilitates geographically locating the handset 900. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 934facilitates the user initiating the quality feedback signal. The userinput component 934 can also facilitate the generation, editing andsharing of video quotes. The user input component 934 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 906, a hysteresis component 936facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 938 can be provided that facilitatestriggering of the hysteresis component 936 when the Wi-Fi transceiver913 detects the beacon of the access point. A SIP client 940 enables thehandset 900 to support SIP protocols and register the subscriber withthe SIP registrar server. The applications 906 can also include a client942 that provides at least the capability of discovery, play and storeof multimedia content, for example, music.

The handset 900, as indicated above related to the communicationscomponent 910, includes an indoor network radio transceiver 913 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

Referring now to FIG. 10 , there is illustrated a block diagram of acomputer 1000 operable to execute a system architecture that facilitatesestablishing a transaction between an entity and a third party. Thecomputer 1000 can provide networking and communication capabilitiesbetween a wired or wireless communication network and a server (e.g.,Microsoft server) and/or communication device. In order to provideadditional context for various aspects thereof, FIG. 10 and thefollowing discussion are intended to provide a brief, generaldescription of a suitable computing environment in which the variousaspects of the innovation can be implemented to facilitate theestablishment of a transaction between an entity and a third party.While the description above is in the general context ofcomputer-executable instructions that can run on one or more computers,those skilled in the art will recognize that the innovation also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the various methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of the innovation can also be practiced indistributed computing environments where certain tasks are performed byremote processing devices that are linked through a communicationsnetwork. In a distributed computing environment, program modules can belocated in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media can embody computer-readable instructions, datastructures, program modules or other structured or unstructured data ina data signal such as a modulated data signal, e.g., a carrier wave orother transport mechanism, and includes any information delivery ortransport media. The term “modulated data signal” or signals refers to asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in one or more signals. By way ofexample, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference to FIG. 10 , implementing various aspects describedherein with regards to the end-user device can include a computer 1000,the computer 1000 including a processing unit 1004, a system memory 1006and a system bus 1008. The system bus 1008 couples system componentsincluding, but not limited to, the system memory 1006 to the processingunit 1004. The processing unit 1004 can be any of various commerciallyavailable processors. Dual microprocessors and other multi processorarchitectures can also be employed as the processing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes read-only memory (ROM) 1027 and random access memory (RAM)1012. A basic input/output system (BIOS) is stored in a non-volatilememory 1027 such as ROM, EPROM, EEPROM, which BIOS contains the basicroutines that help to transfer information between elements within thecomputer 1000, such as during start-up. The RAM 1012 can also include ahigh-speed RAM such as static RAM for caching data.

The computer 1000 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), which internal hard disk drive 1014 can also beconfigured for external use in a suitable chassis (not shown), amagnetic floppy disk drive (FDD) 1016, (e.g., to read from or write to aremovable diskette 1018) and an optical disk drive 1020, (e.g., readinga CD-ROM disk 1022 or, to read from or write to other high capacityoptical media such as the DVD). The hard disk drive 1014, magnetic diskdrive 1016 and optical disk drive 1020 can be connected to the systembus 1008 by a hard disk drive interface 1024, a magnetic disk driveinterface 1026 and an optical drive interface 1028, respectively. Theinterface 1024 for external drive implementations includes at least oneor both of Universal Serial Bus (USB) and IEEE 1394 interfacetechnologies. Other external drive connection technologies are withincontemplation of the subject innovation.

The drives and their associated computer-readable media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1000 the drives and mediaaccommodate the storage of any data in a suitable digital format.Although the description of computer-readable media above refers to aHDD, a removable magnetic diskette, and a removable optical media suchas a CD or DVD, it should be appreciated by those skilled in the artthat other types of media which are readable by a computer 1000, such aszip drives, magnetic cassettes, flash memory cards, cartridges, and thelike, can also be used in the exemplary operating environment, andfurther, that any such media can contain computer-executableinstructions for performing the methods of the disclosed innovation.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. It is to be appreciated that the innovation canbe implemented with various commercially available operating systems orcombinations of operating systems.

A user can enter commands and information into the computer 1000 throughone or more wired/wireless input devices, e.g., a keyboard 1038 and apointing device, such as a mouse 1040. Other input devices (not shown)can include a microphone, an IR remote control, a joystick, a game pad,a stylus pen, touch screen, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1042 that is coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, etc.

A monitor 1044 or other type of display device is also connected to thesystem bus 1008 through an interface, such as a video adapter 1046. Inaddition to the monitor 1044, a computer 1000 typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1000 can operate in a networked environment using logicalconnections by wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1048. The remotecomputer(s) 1048 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentdevice, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer,although, for purposes of brevity, only a memory/storage device 1050 isillustrated. The logical connections depicted include wired/wirelessconnectivity to a local area network (LAN) 1052 and/or larger networks,e.g., a wide area network (WAN) 1054. Such LAN and WAN networkingenvironments are commonplace in offices and companies, and facilitateenterprise-wide computer networks, such as intranets, all of which canconnect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 1000 isconnected to the local network 1052 through a wired and/or wirelesscommunication network interface or adapter 1056. The adapter 1056 canfacilitate wired or wireless communication to the LAN 1052, which canalso include a wireless access point disposed thereon for communicatingwith the wireless adapter 1056.

When used in a WAN networking environment, the computer 1000 can includea modem 1058, or is connected to a communications server on the WAN1054, or has other means for establishing communications over the WAN1054, such as by way of the Internet. The modem 1058, which can beinternal or external and a wired or wireless device, is connected to thesystem bus 1008 through the input device interface 1042. In a networkedenvironment, program modules depicted relative to the computer, orportions thereof, can be stored in the remote memory/storage device1050. It will be appreciated that the network connections shown areexemplary and other means of establishing a communications link betweenthe computers can be used.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, in a hotel room, or a conference room at work, withoutwires. Wi-Fi is a wireless technology similar to that used in a cellphone that enables such devices, e.g., computers, to send and receivedata indoors and out; anywhere within the range of a base station. Wi-Finetworks use radio technologies called IEEE 802.11 (a, b, g, etc.) toprovide secure, reliable, fast wireless connectivity. A Wi-Fi networkcan be used to connect computers to each other, to the Internet, and towired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networksoperate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps(802.11a) or 54 Mbps (802.11b) data rate, for example, or with productsthat contain both bands (dual band), so the networks can providereal-world performance similar to the basic 10BaseT wired Ethernetnetworks used in many offices.

An aspect of 5G, which differentiates from previous 4G systems, is theuse of NR. NR architecture can be designed to support multipledeployment cases for independent configuration of resources used forRACH procedures. Since the NR can provide additional services than thoseprovided by LTE, efficiencies can be generated by leveraging the prosand cons of LTE and NR to facilitate the interplay between LTE and NR,as discussed herein.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics can be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “engine,” “module,” “system,”“interface,” and the like are intended to refer to a computer-relatedentity, hardware, software (e.g., in execution), and/or firmware. Forexample, a component can be a processor, a process running on aprocessor, an object, an executable, a program, a storage device, and/ora computer. By way of illustration, an application running on a serverand the server can be a component. One or more components can residewithin a process, and a component can be localized on one computerand/or distributed between two or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding FIGs, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: receiving, by a deviceincluding a processor, a monitored interaction performed on a first userequipment; identifying, by the device, a content item that correspondsto a defined interest in the monitored interaction; identifying, by thedevice, a first multimedia stream that contains a first plurality ofcontent items, the first plurality of content items including theidentified content item; identifying, by the device, a second multimediastream that contains a second plurality of content items, the secondplurality of content items also including the identified content item;assigning, by the device, a first weight to the first multimedia streambased on the first plurality of content items and a second weight to thesecond multimedia stream based on the second plurality of content items;based on a determination that the first weight is larger than the secondweight, sending, by the device, a recommendation for the firstmultimedia stream to the first user equipment; and based on receipt ofan acceptance of the recommendation, facilitating, by the device, atransmission of the first multimedia stream to an identified userequipment, wherein the identified user equipment is the first userequipment, and wherein the first user equipment and a second userequipment are associated with an identified entity.
 2. The method ofclaim 1, further including: prior to the facilitating, receiving, by thedevice and from the first user equipment, the acceptance of therecommendation and a specified time for the transmission of the firstmultimedia stream, wherein the facilitating includes facilitating thetransmission of the first multimedia stream at the specified time. 3.The method of claim 1, further including: prior to the facilitating,receiving, by the device and from the first user equipment, theacceptance of the recommendation and an indication to output the firstmultimedia stream at the second user equipment, wherein the facilitatingincludes facilitating the transmission of the first multimedia stream tothe second user equipment.
 4. The method of claim 1, wherein themonitored interaction includes a social network interaction at the firstuser equipment, and wherein a subject of the social network interactionincludes the monitored interaction with the identified content item. 5.The method of claim 1, wherein the monitored interaction includes anaudible conversation stream, detected by the first user equipment, andwherein the identified content item is identified in the audibleconversation stream.
 6. The method of claim 1, wherein the monitoredinteraction includes a subscription to an input summary feed thatincludes the identified content item, and wherein the input summary feedincludes periodically changed information.
 7. The method of claim 1,wherein the monitored interaction includes a request for multimediastreams that includes content information indicative of the identifiedcontent item.
 8. The method of claim 7, further including: based onreceipt of a denial of the recommendation for the first multimediastream, removing, by the device, the identified content item from a datastore of content items, wherein the removing discontinuesrecommendations of the first multimedia stream based on the contentitem.
 9. The method of claim 1, wherein the recommendation is a firstrecommendation, and wherein the method further includes: after thefacilitating, sending, by the device, to the first user equipment, asecond recommendation for the second multimedia stream.
 10. The methodof claim 1, further including: based on receipt of a denial of therecommendation for the first multimedia stream, modifying, by thedevice, the first weight from a first level to a second level, whereinthe first level indicates an interest in the first multimedia stream andthe second level indicates a lack of the interest in the firstmultimedia stream.
 11. The method of claim 1, wherein the first weightand the second weight indicate a rank ordering between the firstmultimedia stream and the second multimedia stream.
 12. A system,comprising: a processor; and a memory that stores executableinstructions that, when executed by the processor, facilitateperformance of operations, including: receiving a monitored interactionperformed on a first user equipment; identifying a content item thatcorresponds to a defined interest in the monitored interaction;identifying a first multimedia content stream that contains a firstplurality of content items, the first plurality of content itemsincluding the identified content item; identifying a second multimediacontent stream that contains a second plurality of content items, thesecond plurality of content items also including the identified contentitem; assigning a first weight to the first multimedia content streambased on the first plurality of content items and a second weight to asecond multimedia content stream based on the second plurality ofcontent items; based on a determination that the first weight is largerthan the second weight, sending a recommendation for the firstmultimedia content stream to the first user equipment; and based on anacceptance received in response to the recommendation, outputting datathat includes the first multimedia content stream at the first userequipment or at a second user equipment, wherein the acceptance includesa first indication of a first output at the first user equipment or asecond indication of a second output at the second user equipment. 13.The system of claim 12, wherein the first user equipment and the seconduser equipment are determined to be associated with an identifiedentity.
 14. The system of claim 12, wherein the acceptance includes anidentified date and an identified time, and wherein the outputtingincludes outputting the data that includes the first multimedia contentstream at the identified date and the identified time.
 15. The system ofclaim 12, wherein the monitored interaction includes a social networkinteraction at the first user equipment, wherein a subject of the socialnetwork interaction includes a first content item included in the firstplurality of content items and, a second content item included in thesecond plurality of content items.
 16. The system of claim 12, whereinmonitored interaction includes an audible conversation stream at thefirst user equipment, wherein a first content item included in the firstplurality of content items and a second content item are identified inan audible conversation stream of the audible conversation stream.
 17. Anon-transitory machine-readable medium, comprising executableinstructions that, when executed by a processor, facilitate performanceof operations, including: receiving a monitored interaction performed ona first user equipment; identifying a content item that corresponds to adefined interest in the monitored interaction; identifying a firstmultimedia stream that contains a first plurality of content items, thefirst plurality of content items including the identified content item;identifying a second multimedia stream that contains a second pluralityof content items, the second plurality of content items also includingthe identified content item; assigning a first weight to a firstmultimedia content stream based on the first plurality of content itemsand a second weight to a second multimedia content stream based on thesecond plurality of content items, wherein the first weight isdetermined to be ranked higher than the second weight; sending arecommendation for the first multimedia stream to the first userequipment; and based on receipt of an acceptance of the recommendation,transmitting data that includes the first multimedia content stream toan identified user equipment, wherein the identified user equipment is asecond user equipment, and wherein the first user equipment and thesecond user equipment are associated with an identified entity.
 18. Thenon-transitory machine-readable medium of claim 17, wherein theoperations further include: prior to the transmitting, receiving, fromthe first user equipment, the acceptance of the recommendation, firstinformation indicative of a defined time for the transmitting the datathat includes the first multimedia content stream, and secondinformation indicative of an instruction to output the first multimediacontent stream at the second user equipment, and wherein thetransmitting includes transmitting the data that includes the firstmultimedia content stream to the second user equipment at the definedtime.